Abstract: Markers useful for determining multiple sclerosis activity in a human subject are provided, along with kits for measuring quantitative expression values of the markers. Also provided are computer systems and software embodiments of predictive models for scoring and determining multiple sclerosis activity in human subjects based on the quantitative expression values of the markers.

Abstract: Three dimensional (3D) graph structures are constructed from images captured from subjects. The 3D graph structures are composed of nodes which can be queried to identify presence of anatomical abnormalities, such as multiple sclerosis lesions. As additional images are captured from the subjects over time, 3D graph structures are efficiently updated and analyzed, which reveals the topology and temporal nature of multiple sclerosis disease by exposing novel structural features of the brain through representation of data as interactive 3D projections.

Abstract: Disclosed herein are methods for analyzing quantitative expression values of biomarkers of a biomarker panel for determining multiple sclerosis disease activity (e.g., multiple sclerosis disease progression) in a human subject. Further disclosed herein are kits for measuring quantitative expression values of the markers as well as computer systems and software embodiments of predictive models for determining multiple sclerosis disease activity (e.g., multiple sclerosis disease progression) in human subjects based on the quantitative expression values of the markers.

Abstract: Disclosed herein are methods for analzying quantitative expression values of biomarkers of a biomarker panel for determining disease activity in a human subject. Further disclosed herein are kits for measuring quantitative expression values of the markers as well as computer systems and software embodiments of predictive models for determining disease activity in human subjects based on the quantitative expression values of the markers.

Abstract: Markers useful for determining multiple sclerosis activity in a human subject are provided, along with kits for measuring quantitative expression values of the markers. Also provided are computer systems and software embodiments of predictive models for scoring and determining multiple sclerosis activity in human subjects based on the quantitative expression values of the markers.

Abstract: A method scores a sample, by receiving a first dataset associated with a first sample obtained from a first subject, wherein said first dataset comprises quantitative data for at least two markers selected from the group consisting of: CCL22; CHI3L1; COMP; CRP; CSF1; CXCL10; EGF; ICAM1; ICAM3; ICTP; IL1B; IL2RA; IL6; IL6R; IL8; LEP; MMP1; MMP3; PYD; RETN; SAA1; THBD; TIMP1; TNFRSF11B; TNFRSF1A; TNFSF11; VCAM1; and VEGFA; and determining a first SDI score from said first dataset using an interpretation function, wherein the first SDI score provides a quantitative measure of the rate of change in joint structural damage in said first subject.